摘要
近年来,随着我国国民经济的快速发展和人们生活水平的提升,自驾游在全国旅游业中的比重逐渐增大.以旅游爱好者常住地——西安市为例,采用分步优化、聚类分析、蚁群优化算法、0-1规划、层次分析等数学方法,使得游览全国201个5A级景点的时间最短、费用最低、旅游体验度最优.
In recent years,the proportion of self-driving travel has gradually increased in the national tourism industry with the rapid development of economy and improvement of people’s living standard.Xi’an city,known as the tour enthusiasts’ resident,is taken as an example in this paper.Through various mathematical methods including step by step optimization,clustering analysis,ant colony algorithm,0-1 planning and analytic hierarchy process,a complete tourism scheme of 5A level scenic areas in China,totally 201,can be obtained that satisfies the shortest time,lowest cost and best travel experience at the same time.
出处
《数学的实践与认识》
北大核心
2016年第15期115-124,共10页
Mathematics in Practice and Theory
关键词
旅游路线规划
逐步分层优化
蚁群算法
聚类分析
旅游体验
tourism route scheme
step by step optimization
ant colony algorithm
clustering analysis
travel experience
